One of the great challenges healthcare industry facing today is handling the medical data tsunami in order to draw necessary insights while adhering to ever-changing regulatory reforms. Machine learning and artificial intelligence have become the foundational components for absorbing important information from this huge amount of data and provide better patient-centric outcomes and keep healthcare providers ahead of the race.

Personalizing Healthcare

Physicians require real time access to clinical data to make fully informed patient care decisions. For example- a patient who has been diagnosed with heart failure, the doctor should be having complete knowledge about history of heart attacks, blood clots and other related clinical data. However, in most of the cases doctors are not aware of the patient clinical data. AI can act as a single guide who tracks the patient data, learns from its experiences and tailors the best solution for the patient. In addition, AI can help patients to stick to the post hospitalization recommendations in order to stay healthy.

Look into the Future

Here are some of the applications of artificial intelligence that can bring great transformations in healthcare:

Generally, patient’ files are not organized and coding these records to extract necessary medical insights is a great challenge in existing healthcare systems. AI collects, normalizes and traces the system to find out relevant information and help healthcare providers in providing better & faster healthcare services. Thus, monitoring healthcare data well and making patients as healthy as possible.

#Cognitive Assistants Replacing Humans

AI can act as “cognitive assistant” and help medical personnel in clinical decision-making. It can analyze radiology images, detect problems and suggests best solutions for the patients based upon those tactics. AI can replace humans in numerous repetitive tasks, that workforce can be deployed in most complicated cases where human administration is a compulsion.

AI can be a game changer for genetics and genomes. It identify huge data sets of genetic information and tell doctors about probable changes in the cell when DNA is altered by genetic variation. Such actionable genomic insights can be helpful in treatment of cancer patients. In addition, developing medicines through clinical trials take decades and costs millions of dollars. Stimulating this up, AI technology structures the available data and compute results within a few hours or days hence providing more cost-effective drug creation.

Bringing it All Together

AI has become part of new normal. Implementing AI in healthcare can organize patient data and provide physicians with all necessary insights helpful in making informed patient care decisions. Above article describes some fields where AI can aid healthcare providers to manage patient care more efficiently.